Creative AI is evolving beyond manual prompting to programmatic, high-throughput image generation with enhanced governance and analytics features.
AI-driven ‘vibe coding’ poses security risks, demanding a shift to DevSecOps where security is embedded throughout the automated software development lifecycle.
Despite the hype, GenAI is a multi-billion dollar bet on a technology vendors can’t own or control, requiring urgent regulation.
The limitations of current RAGs can be overcome by structuring information into hierarchical knowledge graphs for better reasoning and reliable AI.
Website interactions are shifting from static, keyword-based searches to personalised, conversational AI experiences, but human interfaces will remain crucial.
Invest in a modular, low-code AI fabric for immediate efficiency gains while avoiding costly, monolithic over-investment.
Firms face an AI talent trap; they must develop new skills and hire to stay competitive in the innovation economy.
AI is being progressively adopted in Human Resources functions, with or without organisational awareness. CIOs need to partner with their HR peers to ensure a disciplined approach to solution selection, implementation, and oversight.
Google’s new AI tool, nano-banana, is a major step towards integrating generative AI directly into creative workflows, automating repetitive tasks and redefining productivity.
